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Design and development of land surface temperature calculation plugin of QGIS

Published: 28 December 2020 Publication History

Abstract

Land Surface Temperature (LST) is the temperature found in the outermost layer of the soil surface. Information about LST is very important because LST is a factor that can influence global climate change. There are several ways that can be used to obtain LST data, one of which is to use data obtained from satellites using the help of a satellite image data processing application such as raster calculator within QGIS. There are various plugins provided by QGIS to help its users. Plugins are additional tools designed to deal with various problems encountered. However, there is currently no plugin that automatically calculates the LST algorithm. LST algorithm calculations performed on the QGIS application still use manual methods so to get LST data requires a complex step to produce LST data. To facilitate the process of getting LST data, a plugin is needed that helps users to automatically calculate LST. In this case, the plugin QGIS to calculate the surface temperature is built using the Python (PyQT for designing the UI and PyQGIS the API for QGIS) with the hope that it can simplify and speed up the process of calculating LST data

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    SIET '20: Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology
    November 2020
    277 pages
    ISBN:9781450376051
    DOI:10.1145/3427423
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 28 December 2020

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    Author Tags

    1. Indonesia
    2. QGIS
    3. land surface temperature (LST)
    4. plugin

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    SIET '20 Paper Acceptance Rate 45 of 57 submissions, 79%;
    Overall Acceptance Rate 45 of 57 submissions, 79%

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